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AREPS
电磁传播损耗的计算方法，模拟电磁波在大气中的传播路径(A propagation path of the electromagnetic propagation loss calculation method and the simulation of electromagnetic wave in the atmosphere)
- 2012-08-29 11:01:55下载
- 积分：1
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iterative-method
利用c语言编写了迭代法解线性方程组的源程序，大大简化了计算量。(Use the C language source code of the iterative method for solving linear equations, which greatly simplify the calculation, suitable for solution of complex equations)
- 2012-03-15 20:44:30下载
- 积分：1
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R_re_a_esti
基于干扰矩阵的重置和导向矢量估计的数字波束形成，程序经过优化，可运行，里面包含了一个矩阵求积分的子程序，可参考(Reset based on interference matrix and steering vector estimation of digital beamforming, the program has been optimized to run, which contains a matrix integral subroutines, refer to)
- 2013-07-17 21:12:52下载
- 积分：1
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Gauss-Hermite
国外比较好用的高斯-厄米特数值积分源代码(the code of gauss-hermite )
- 2021-04-01 17:49:08下载
- 积分：1
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tide
fortran90的潮汐调和分析和预报程序(Fortran90 tidal harmonic analysis program
)
- 2012-04-30 20:50:23下载
- 积分：1
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大多相流程序
说明： 西交大多相流程序。本程序由西安交通大学能源与动力工程学院 CFD-NHT-EHT 研究中心孙东亮博士开发。本程序的任何部分不得发表。本程序未经作者同意不得用于商业用途。您可以使用该程序或进一步发展该程序。发表任何在该程序基础上开展的工作请引用相关文献（文献在程序包内一并给出）(Most of the phase flow procedures in the West Cross. This procedure was developed by Dr. Sun Dongliang, cfd-nht-eht Research Center, School of energy and power engineering, Xi'an Jiaotong University. No part of this procedure may be published. This procedure shall not be used for commercial purposes without the consent of the author. You can use the program or further develop it. Publish any work carried out on the basis of the program, please refer to relevant literature (literature is given in the package))
- 2020-06-17 21:57:16下载
- 积分：1
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source
线弹性模型，可以对一般的弹性体通过abaqus进行验证使用(Linear elastic model)
- 2013-11-18 10:33:29下载
- 积分：1
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matrix
一个由C语言写成的矩阵运算程序源代码，共初学者参考。(A C language source code matrix calculation, a total of reference for beginners.)
- 2007-12-18 16:57:44下载
- 积分：1
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broyden迭代法和逆broyden迭代法
拟牛顿迭代法是相对比较新的一种方法，克服了牛顿迭代需要求导数和求逆的缺点，用于求解非线性方程组(For solving nonlinear equations)
- 2017-11-22 22:45:10下载
- 积分：1
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EnsembleKalman_filter
说明： 集合卡尔曼滤波(EnKF) 数据同化方法可以避免了EKF 中协方差演变方程预报过程中出现的计算不准确和关于协方差矩阵的大量数据的存储问题,最主要的是可以有效的控制估计误差方差的增长,改善预报的效果。(Ensemble Kalman Filter (EnKF) data assimilation methods can be avoided in the EKF covariance forecasting the evolution equation arising in the course of the calculation is not accurate and on the covariance matrix of a large amount of data storage problems, the most important and effective control can be estimated error variance of the growth, improvement in forecasting results.)
- 2008-12-02 16:51:42下载
- 积分：1
